scholarly journals Oil price volatility and economic growth: Evidence from advanced economies using more than a century’s data

2019 ◽  
Vol 233-234 ◽  
pp. 612-621 ◽  
Author(s):  
Reneé van Eyden ◽  
Mamothoana Difeto ◽  
Rangan Gupta ◽  
Mark E. Wohar
2012 ◽  
Vol 524-527 ◽  
pp. 3211-3215 ◽  
Author(s):  
Shu Ping Wang ◽  
Ai Mei Hu ◽  
Zhen Xin Wu

China has been in rapid economic growth and industrial structure reform for recent years, and oil, as a most important raw material for industrial production, its price fluctuations have direct impact on energy-intensive industries as well as non-energy-intensive industries and their associated industries’ overall demands. Under the price transmission mechanism, oil price volatility imposes significant influences on economic growth rate, price level, unemployment rate and monetary policy as well. This paper established VAR model among oil prices and economic indicators such as economic growth rate, price level, unemployment rate and monetary policy, and by data processing , stability test and cointegration test, we found that there existed long term stable cointegration relations among these sequences; through Granger Causality test we found that oil price volatility was the Granger cause of the fluctuations of economic growth rate, price level and monetary policy, and meanwhile, changes in economic growth rate is the Granger cause of that in price level. The result of our empirical study indicated that, oil price volatility has a profound influence on China’s economy, and thus, China should improve the establishment of the oil futures market to avoid risks of oil price volatility and secure long-term stability of its economic growth.


2019 ◽  
Vol 78 (309) ◽  
pp. 80 ◽  
Author(s):  
Domingo Rodríguez Benavides ◽  
Francisco López Herrera

<p>En este trabajo investigamos si la incertidumbre del precio internacional del petróleo incidió en la actividad económica de México durante 1983:2-2017:4. Empleamos un modelo de vectores autorregresivos (VAR) estructural bivariado con un proceso generalizado autorregresivo de heterocedasticidad condicional (GARCH) en media que captura el impacto de la volatilidad del petróleo en el crecimiento económico y la formación bruta de capital fijo. Nuestros resultados muestran que la incertidumbre del mercado petrolero tiene una influencia negativa en la actividad económica. Además, revelan la presencia de efectos asimétricos: la tasa de crecimiento de la producción aumenta (disminuye) después de un choque negativo (positivo) en el precio del petróleo. Estos resultados destacan la importancia de políticas públicas que mitiguen el efecto de la incertidumbre del mercado petrolero y contribuyan a la estabilidad económica.</p><p align="center"> </p><p align="center">EFFECTS OF OIL PRICES UNCERTAINTY ON MEXICO’S ECONOMIC GROWTH</p><p align="center"><strong>ABSTRACT</strong></p><p>We inquire whether the uncertainty of international oil prices affected Mexico’s economic activity during 1983:2-2017:4. To measure such impact we use a bivariate structural vector autoregressive (VAR) model with a generalized autoregressive conditional heteroskedasticity (GARCH) in-mean process that captures the impact of oil price volatility on economic growth and gross fixed capital formation. Our results show that the said uncertainty has a negative influence on Mexico’s economic activity. Further, they reveal the presence of asymmetric effects, as the output growth rate increases (decreases) after a negative (positive) oil price shock. These results highlight the importance of adopting public policies aimed at mitigating the effects of oil market uncertainty and help stabilize economic activity.</p>


2018 ◽  
Vol 16 (3) ◽  
pp. 482-491
Author(s):  
Mousumi Saha ◽  
Seikh Mohammad Sayem ◽  
A. K. M. Abdullah Al-Amin ◽  
Shankar Majumder

This study empirically examines oil price volatility and the impact of oil price changes on the growth of the economy and food security in Bangladesh. The study uses yearly data of macroeconomic variables from 1991 to 2015 and global food security index (GFSI) for the period 2012 to 2015. Furthermore, data of GFSI for previous four years have been simulated using exponential model. The GARCH (2, 1) model with minimum AIC postulates that volatility was high in the previous period and it has been continued to be lower in the current period (i.e. 2015). The co-integration test and error correction model exhibit that both in short-run and long-run case the increasing oil price negatively affected the growth of the economy. The simultaneous equations regression model using three-stage least squares estimator discloses that an increase in oil price declines the economic growth and food security simultaneously and significantly. Moreover, this study suggests that oil price volatility is not a good sign for the economy of Bangladesh, since, the country is an importer of crude oil, government policy should be quick responsive in relation to international oil market to create consistent oil market and sustainable economic development in Bangladesh. J. Bangladesh Agril. Univ. 16(3): 482–491, December 2018


Energy Policy ◽  
2019 ◽  
Vol 126 ◽  
pp. 131-144 ◽  
Author(s):  
Uchechukwu Jarrett ◽  
Kamiar Mohaddes ◽  
Hamid Mohtadi

2018 ◽  
Vol 16 (4) ◽  
pp. 155-168 ◽  
Author(s):  
Mlaabdal Saady Mahmood Abaas ◽  
Olena Chygryn ◽  
Oleksandr Kubatko ◽  
Tetyana Pimonenko

This paper examines the economic relationships between oil price volatility and socially-economic development of 14 Organization of the Petroleum Exporting Countries (OPEC) using the annual panel data for the period 1990–2014 obtained from the World Bank (WB) statistical data sets. Hausman specification test has been performed to choose the method of panel data analysis, and the results were in favor of fixed effects estimation. The main findings indicate the direct relationship between economic growth and oil price volatility. The research supports the hypothesis that an increase in crude oil prices is positively related to GDP, and a 10% increase in oil prices correlates with 0.6-4% GDP improvements. Structural changes in employment in favor of service sector are negatively correlated with GDP per capita. Changes in GDP structure in favor of oil rents on 10% lead to the shrinking of GDP on 1%. Life expectancy at birth, as an indirect indicator of health, positively influences the economic growth indicators and an improvement in life expectancy on one percentage leads on average to 1% growth in GDP and 0.5-1.33% growth in GDP per capita. Energy efficiency improvements are positive drivers of GDP values at OPEC, and our findings suggest that a 10% increase at GDP per unit of energy use leads to 3% increase of GDP itself. The study recommends investing in energy efficiency, human capital, and capital formation to guarantee long-run economic development and prosperity of OPEC counties.


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